Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis
This work proposes a visual relocalization method that departs from classical correspondence-based pipelines by directly estimating camera poses against a differentiable map representation built with 3D Gaussian Splatting (3DGS), and shows substantial gains in relocalization accuracy under challenging conditions.